Looking for a job

Anjali Angadala

@anjaliangadala

AI and ML student with an Agriculture Helper Chatbot for crop management, pest control, and soil health.

I developed an Agriculture Helper Chatbot that gives farmers practical information on crop management, pest control, soil health, and weather updates to support day-to-day farming decisions.

During my Infosys Springboard Internship 6.0, I developed an interactive dashboard to analyze global income inequality trends. I used data cleaning, transformation, and visualization to present insights from real-world datasets.

My AI & ML internship at APSSDC focused on supervised and unsupervised learning, model evaluation, and data analysis using Python libraries. I also gained hands-on cloud experience through the AWS Cloud Virtual Internship by EduSkills.

Experience

Work history, roles, and key accomplishments

CCTV Operator

Hindustan Coca-Cola Beverages

Jul 2026 - Sep 2026 (2 months)

Monitored CCTV camera feeds to observe premises and identify unusual activities. Maintained attention to surveillance screens and reported relevant incidents to the concerned team.

CCTV Monitoring Surveillance Incident Reporting Attention To Detail

Data Visualization Intern

Infosys Springboard

Oct 2025 - Dec 2025 (2 months)

Developed an interactive dashboard to analyze global income inequality trends. Applied data cleaning, transformation, and reporting techniques to present insights.

Data Visualization Data Analysis Data Cleaning data transformation Reporting Dashboard Development

AWS Cloud Virtual Intern

EduSkills

Oct 2024 - Dec 2024 (2 months)

Gained hands-on experience with EC2, S3, RDS, IAM, and Lambda through guided labs and projects. Deployed and managed cloud applications, virtual servers, secure storage, and access control.

AWS EC2 S3 RDS IAM Lambda Cloud Computing cloud deployment Security

AI & ML Intern

APSSDC

May 2024 - Jun 2024 (1 month)

Focused on supervised and unsupervised learning, model evaluation, and data analysis using Python libraries including Pandas, Scikit-learn, and TensorFlow.